Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit374-05-20021201_051700_20021201_100200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/01 |
Start Time | | 2002/12/01 05:17 |
End Time | | 2002/12/01 10:00 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 29.50 |
Dipole Tilt, in Y-Z GSE plane, deg | | 17.72 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 145.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit374-05-20021201_051700_20021201_100200-constBx0 |
Minimum Dst Value | | -39 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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